Principal Engineer, Confidential AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Own end-to-end integration of an open agent-governance stack into the OPAQUE platform, binding policy enforcement and verifiable evidence to confidential computing TEEs. Harden and scale confidential agent workflows across multi-cloud confidential containers (AKS, GKE), then ship commercial offerings like OPAQUE Confidential MCP and OPAQUE Confidential Agents. Work with customers and contribute upstream to standards communities shaping agent governance.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Integrate the open agent-governance stack (Confidential MCP, Agent Manifest, TRACE) into OPAQUE Agent Control and OPAQUE Confidential Core bound to hardware attestation and TEEs.
•Run policy enforcement and verifiable evidence inside the TEE so governed agent workflows emit a single independently verifiable, hardware-rooted record.
•Production-harden and scale confidential agent paths across multi-cloud confidential containers (AKS, GKE) to meet reliability and latency targets.
•Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents on top of the foundation.
•Work directly with customers and represent OPAQUE in standards communities, making open-source-to-product decisions on what to harden, keep experimental, or upstream.

Key Requirements

•10+ years building production systems with depth across both application software and low-level/systems work.
•Hands-on confidential computing/TEE experience (SEV-SNP, TDX, NVIDIA Confidential Computing) and fluency in attestation (RATS, EAT, measured boot, key release on attestation).
•Strong cryptographic engineering fundamentals.
•Fluency in Go and/or Rust; comfort in Python and agent frameworks (LangChain, LangGraph, CrewAI, AutoGen).
•Experience scaling distributed systems on Kubernetes, ideally multi-cloud.

Experience:10+ years

Skills:Customer-focusedCryptographic engineering fundamentalsOpen-source contribution

Languages:English

Tech Stack:GoRustPythonLangChainLangGraphCrewAIAutoGenKubernetesAKSGKEAMD SEV-SNPIntel TDXNVIDIA Confidential ComputingRATSEATMeasured bootConfidential containersPolicy enginesCedarSBOM

Company Brief

Opaque - Confidential AI Platform

Provides a confidential AI platform leveraging confidential computing to enable privacy-preserving model training and inference on sensitive data, allowing organizations to securely run and share AI workloads without exposing underlying data.

Industry: AI & Machine Learning

Website

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Opaque - Confidential AI Platform

2 weeks ago

Principal Engineer, Confidential AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Integrate the open agent-governance stack (Confidential MCP, Agent Manifest, TRACE) into OPAQUE Agent Control and OPAQUE Confidential Core bound to hardware attestation and TEEs.
•Run policy enforcement and verifiable evidence inside the TEE so governed agent workflows emit a single independently verifiable, hardware-rooted record.
•Production-harden and scale confidential agent paths across multi-cloud confidential containers (AKS, GKE) to meet reliability and latency targets.
•Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents on top of the foundation.
•Work directly with customers and represent OPAQUE in standards communities, making open-source-to-product decisions on what to harden, keep experimental, or upstream.

Key Requirements

•10+ years building production systems with depth across both application software and low-level/systems work.
•Hands-on confidential computing/TEE experience (SEV-SNP, TDX, NVIDIA Confidential Computing) and fluency in attestation (RATS, EAT, measured boot, key release on attestation).
•Strong cryptographic engineering fundamentals.
•Fluency in Go and/or Rust; comfort in Python and agent frameworks (LangChain, LangGraph, CrewAI, AutoGen).
•Experience scaling distributed systems on Kubernetes, ideally multi-cloud.

Experience:10+ years

Skills:Customer-focusedCryptographic engineering fundamentalsOpen-source contribution

Languages:English

Tech Stack:GoRustPythonLangChainLangGraphCrewAIAutoGenKubernetesAKSGKEAMD SEV-SNPIntel TDXNVIDIA Confidential ComputingRATSEATMeasured bootConfidential containersPolicy enginesCedarSBOM

Company Brief

Opaque - Confidential AI Platform

Industry: AI & Machine Learning

Website